Research Assistant (FinTech)
Overview
Research assistants manage, conduct, and assist in studies for clients on various industry, identifying key trends or meaningful solutions to industry problems.
Description
- Pinpoint issues or operational inefficiencies within the fintech sector.
- Explore current technological advancements, crafting innovative solutions for industry challenges.
- Gather and scrutinise data pertinent to project research focus or logistical aspects for comprehensive analysis.
- Create and propose impactful solutions to identified problems.
- Facilitate collaboration between clients and in-house teams to ensure project execution and alignment.
Entry requirements
- You'll need a Degree in Computer Science or a related field as a minimum requirement to get started.
- Having a good background in deep learning, transfer learning, and reinforcement learning, with knowledge of common deep learning models like Artificial Neural Networks and Convolutional Neural Networks is highly valued.
Salary
$2,800 – 5,600
/mo
Salary ranges are estimated based on public information found on Singaporean job portals, including MyCareersFuture, MySkillsFuture. Updated as of 2026.
Trivia
Good software skills, presentation, writing, and interpersonal skills are important. Research is usually done in teams and, a good rapport with your teammates tends to produce better results.
What to expect
Be mentally prepared for ongoing research projects to change due to new developments in the industry. Flexibility is important in this fast-moving field.
Soft
skills
Interpersonal Skills
Able to work well with research teams and stakeholders.
Critical Thinking
Able to analyse data, question assumptions, and solve complex research problems systematically.
Time Management
Able to prioritise tasks, meet deadlines, and manage multiple research projects at the same time.
Programming Proficiency
Familiar with using Python, C++ and Java.
Machine Learning Frameworks
Trained to implement and test advanced computational models using TensorFlow, PyTorch, Keras and Scikit-learn.
Report Writing and Presentation Skills
Able to share research findings clearly and well to all audiences.